D
AI Summary
Design and build long-horizon, high-difficulty RL tasks, contribute to custom agent implementations, and lead a division of engineering tasks.
Key Highlights
Accelerate task creation for the company's RL training pipeline
Own task construction and build internal tools
Contribute to custom agent implementations
Key Responsibilities
Own task construction: design and build long-horizon, high-difficulty RL tasks
Build internal tools and infrastructure to help contractors create tasks faster and at higher quality
Contribute to custom agent implementations for enterprise customers and health systems
Technical Skills Required
Benefits & Perks
$150,000–$175,000 + 0–1% equity
Health insurance
Bay Club or Equinox membership
Job Description
San Francisco, CA
- Palo Alto, CA
- On-site (remote for truly exceptional candidates)
- Full-time
About The Company
An early-stage AI company building RL training data and task-construction infrastructure for frontier AI labs, and deploying custom AI agents for enterprises and health systems. The team is scaling both its task-generation pipeline and its agent-deployment business.
Founded 2025
- 1–10 people (Seed)
- Industry: AI Tools
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Accelerate task creation for the company's RL training pipeline — a specialist role at the intersection of engineering, task design, and system architecture.
What You'll Be Doing
- Own task construction: design and build long-horizon, high-difficulty RL tasks that meet specifications within time constraints
- Build internal tools and infrastructure to help contractors create tasks faster and at higher quality
- Contribute to custom agent implementations for enterprise customers and health systems
- Own one core technical domain deeply (DevOps, MLE, systems design, Rust, algorithms, or full-stack) and lead that division of engineering tasks
- Ship and iterate on systems that power the core task-generation pipeline
Requirements
- 1 to 5 years engineering experience, flexible for exceptional candidates
- Deep specialization in one domain (DevOps, MLE, system design, Rust, algorithms, or equivalent)
- Strong software engineering fundamentals alongside the specialization
- Palo Alto/SF in-person preferred; remote open for truly exceptional candidates
- Startup pace 9am–9pm, six days a week; high-ownership role reporting to CTO
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- Rare depth in one engineering area
- Grit and execution velocity
- Specialist who can also lead a division
- No clear specialization or jack-of-all-trades only
- Cannot articulate their specialization clearly
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- Build the RL task infrastructure that trains and evaluates frontier models
- Specialist, high-ownership seat reporting directly to the CTO, owning a full division of engineering work
- Perks: 1% equity, lunch or dinner in office, health insurance, Bay Club or Equinox membership
- Location: San Francisco, CA
- Palo Alto, CA
- Work policy: In-person preferred; remote for truly exceptional candidates
- Schedule: 9am–9pm, six days a week
- Compensation: $150,000–$175,000 + equity
- Visa sponsorship: H-1B, OPT
- Employment type: Full-time
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